On March 25, 2026, at 8:00 AM East 8 Time, Washington and the crypto market simultaneously staged a "narrative puzzle." On one side, the Trump administration signaled its intention to form a bipartisan technology advisory committee and invited Meta CEO Mark Zuckerberg, NVIDIA CEO Jensen Huang, Oracle founder Larry Ellison, and other tech giants to participate in strategizing for AI and broader technology policies; on the other side, the leading compliant exchange in the U.S., Coinbase, announced the launch of PRL spot trading and PRL-USD trading pairs, which, however, was partially drowned out by the political and tech news flood in mainstream discourse. On the surface, these appear to be two entirely different news items, yet they point to the same mainline: as technology giants walk directly into the policy "front office," and as exchanges accelerate bets on emerging assets, AI, computing power, and Web3 are being reshaped under the framework of national competition and capital games. The key question is how technology companies, after sitting at the policy table, will redefine the spatial boundaries of crypto and Web3, and how compliant exchanges will leverage the momentum to narrate stories linking new assets with AI and the new narrative.

Zuckerberg and Huang Enter the White House Meeting Room

In the early stages of Trump's new term, the White House made its first attempt to build a bipartisan framework for technological advisory, which itself carries a distinct political stance: on one hand, it uses the "bipartisan" label to ease the tension between Congress and the executive branch; on the other hand, it openly extends an olive branch to Silicon Valley and chip giants. According to reports from The Wall Street Journal and at least four crypto media outlets, the central idea of this framework is to incorporate key figures such as Zuckerberg, Huang, and Ellison, who control social platforms, AI computing power, and enterprise software infrastructure, directly into the presidential-level technology advisory network.

Media such as Deep Tide TechFlow describe this move as a "key step for technology companies to directly influence policy". In recent years, while tech giants frequently appeared in hearings and closed-door meetings, they more often existed as subjects of inquiry; now their roles are changing: they are no longer just "objects" of regulation but are being invited to the "source" of policy design. For the crypto and Web3 industry, this represents an important signal shift— the formation of AI, data, and computing power rules is evolving from a one-way regulatory pressure to a process shaped collectively by industry and politics.

It is important to emphasize that the current information available to the outside world is still relatively limited. The official name of the committee has not been made public, and details such as scope of authority, member composition, and decision-making processes have not been disclosed, with some details even conflicting between media reports. The briefing particularly notes that more granular information, such as the number of members, is still in a verification state, meaning that any analysis based on a "specific structure" to infer the path of policy implementation should remain cautious and observant. What truly deserves attention is not the name itself, but the directional change of "technology power entering the decision-making frontline."

Concentration of Power or Specialized Governance: The Double-Edged Sword of Tech Giants at the Table

The first controversy that arose around this advisory framework is the further concentration of power. When giants like Meta, NVIDIA, and Oracle collectively sit at the policy table, it effectively pushes the most influential group of companies regarding data, computing power, and platform rules into the national technology route's "inner circle." At the data level, Meta, which possesses billions of user behavioral data and an advertising ecosystem, will inherently bring its interests into considerations around "what data can be trained" and "cross-border data and sharing rules"; at the computing power level, with NVIDIA controlling the high-end GPU supply chain, it will inevitably affect regulation on high-energy-consuming computing power, export controls, and subsidy policies more directly; at the enterprise and government digital infrastructure level, Oracle has substantial accumulations in databases, cloud services, and government systems, and its definition of "compliance infrastructure" is likely to influence which technologies make it onto the "safety list."

Alongside the vigilance against the concentration of power is the industry's expectation for specialized governance. Issues such as AI safety, computing power regulation, and data privacy are increasingly difficult to address with the traditional bureaucratic knowledge structures. Those without experience in large-scale model training can scarcely understand the "out-of-control boundaries" of large models; teams without experience in data annotation, distribution, and cleansing processes find it challenging to draft executable privacy protection clauses. Therefore, voices from the tech community to industrial capital argue that involving companies with genuine computing power and product experiences in top-level design is a necessary step towards "technically-informed regulation."

From the perspective of the crypto industry, as AI and large models are formally included in the national technology agenda, the roles of on-chain data, privacy computing, and decentralized infrastructure will also be redefined. On-chain data serves both as a treasure trove of training corpus and behavioral insights and is highly tied to financial transactions and identity identification. Striking a line between "usable" and "controllable" will not only be a technical question but also a policy issue to be incorporated into national security considerations. Technologies like privacy computing and zero-knowledge proofs have the opportunity to be viewed as tools bridging "data usability" and "compliance auditability," yet they might also be compressed into appendices under standards defined by large platforms. Decentralized infrastructure thus faces a critical proposition: in the narrative framework dominated by tech giants, will it be portrayed as a "difficult-to-regulate gray area" or as a "public good enhancing systemic resilience and redundancy"?

How AI National Strategy Reflects on Crypto and Web3

From a broader perspective of industrial evolution, traditional technology and crypto infrastructures are being integrated into the same set of "security and competition narratives." The Strategy company's Bitcoin security plan, mentioned in the briefing, echoes this trend to some extent— Bitcoin is being incorporated into a broader information and financial security framework, forming a certain resonance with national-level technology and industrial policies. Although currently there is limited public information regarding the technical details and timeline of the plan, one certainty is that whether it be AI or public chains, both are being regarded again as part of national competitiveness rather than isolated "technology enthusiast experiments."

On the specific track level, AI policies can influence Web3 in several directions. One is the regulation of high-energy-consuming computing power. AI training and mining, decentralized computing inherently share a connection in energy consumption and computing power resource utilization. As the nation sets quotas, carbon emission constraints, or regional restrictions on high-energy-consuming computing power, PoW-type public chains, decentralized computing networks, and AI clusters will be placed on the same resource allocation table. Another is the definition of data sovereignty and user identities. Web3 has always emphasized users' "self-sovereign identities" and control over their data, whereas the national-level digital identity system pays more attention to regulatory aspects and anti-money laundering and anti-terrorist financing compliance requirements, which will directly impact whether decentralized identity (DID) and on-chain reputation systems can gain policy recognition. The third is the attitude towards on-chain financial risks; when AI and quantitative technologies broadly intervene in on-chain transactions, whether regulators will consider this as a "systemic risk amplifier" and thus impose stricter limits on certain DeFi structures.

If in the future the advisory level is dominated by tech giants, the most realistic possibility is that they will promote a set of regulatory schemes favorable to large platforms and large computing power. For example, ensuring quotas and energy subsidies for large data centers in computing power regulation, emphasizing the centralized standards of "qualified custodians" and "compliant clouds" in data governance, and treating on-chain applications accessed through large enterprises' clouds and KYC systems as "good students," while placing self-custody wallets and permissionless public chains under more stringent scrutiny. Consequently, the "low barriers, composable, globally accessible" space upon which the decentralized and open-source ecosystems depend may be continuously squeezed under macro-policy narratives.

Coinbase's Bet on PRL's Narrative Window

Simultaneously with Washington's grand narrative, there was a strategic signal released within the crypto industry. On March 25, 2026, Coinbase announced the launch of PRL spot trading and PRL-USD trading pairs, with the trading pair planned to begin on the same day. Media interpretations such as from Golden Finance see this as another move by Coinbase under the logic of "continuously laying out emerging asset categories," rather than an isolated event. In light of the background, Coinbase had recently launched three new trading pairs in succession, indicating a strategic rhythm of accelerating expansion of its asset spectrum within a compliant framework: on one hand, meeting regulatory requirements for asset selection and disclosure, and on the other, attempting to capture tokens related to the new narrative to avoid falling behind when a new hotspot sparks.

On both narrative and attention levels, this timing choice carries significant meaning. When the national focus is occupied by "tech giants entering the White House meeting room," it seems traditionally difficult for an exchange to cut in with the launch of a new asset to compete for the headlines. However, from a strategic perspective, this provides an opportunity for PRL to tightly bind with AI, Web3, or new technology narratives: as long as the project team and the exchange's external narratives are sufficiently skillful, the technical features and application scenarios of the new coin can be packaged using keywords like "AI data infrastructure," "new privacy computing," or "next-generation decentralized service nodes," forming a "microscopic mirror" to the national-level technology strategy. For capital, this narrative splice is both a risk and an attraction.

Competition for Market Attention: Washington's Narrative and the Exchange's New Listings

If we place the news from March 25 on the same canvas, we see a striking contrast between macro political narratives and micro trading behaviors: on one end is the long-term game between tech giants and AI and technology rules in the White House, while on the other end Coinbase strives to pull user activity and liquidity through new assets like PRL. The former relates to the trajectory of policies and the restructuring of industrial systems for years ahead, while the latter directly points to trading opportunities and revenue for this quarter or even week. For media and market participants, switching perspectives between these two news items has almost become a daily operation: discussing national technology routes and regulatory directions in the daytime, and then filtering the performance of tokens under narrative tags like "AI + chain," "computing power + public chain," or "infrastructure + compliance" in trading software at night.

At the macro level, the analytical framework tends to discuss which technology routes rise to national priority, such as AI large models, computing power centers, critical semiconductors, strategic public chains or crypto infrastructures; at the micro level, attention shifts to whether specific tokens and tracks can ride the wave for amplification. When the market sees tech giants entering policy phases, it often automatically searches for "corresponding targets": privacy public chains related to data sovereignty, decentralized computing projects related to AI processing, and DID networks related to identity systems. At this time, with the launch of PRL, even without clear AI or computing power tags, it will still be included in the collective imagination of "searching for narrative anchor points."

However, it is important to clarify that current key data regarding PRL's actual liquidity, trading volume, and distribution of holdings are significantly missing in public dimensions. Research briefings also clearly suggest not to provide specific predictive numbers or quantitative judgments on its short-term price performance; analyses can only remain on the dimensions of strategic coherence and narrative position: whether Coinbase's pace of launching new assets aligns with its long-term strategy of expanding asset spectrum and meeting diverse user needs; and where PRL is positioned within the overall narrative landscape— is it proactively benchmarking against AI and new infrastructures, or is it more of an "incremental target" within a compliant environment? In the absence of sufficient data, any conclusions about "inevitable rises or falls" resemble emotional outpourings rather than analytical judgments.

How the Crypto Industry Chooses Its Position After Tech Power Sits at the Table

In summary, whether it is the Trump administration promoting tech giants' participation in the technology advisory committee or Coinbase betting on new assets like PRL within the same timeframe, they both point towards a new emerging framework: technology, finance, and crypto are being reclassified into the same national competition narrative. AI large models, chips, computing power, on-chain infrastructure, and compliant exchanges—these topics, originally scattered across different fields, are being systematically linked through keywords like "security," "competitiveness," and "industrial policy." Under such a framework, the crypto industry is no longer just a parallel world speaking its own language but is incorporated into a larger game.

Looking to the future, several key points of observation deserve continuous tracking: first, the official structure and agenda of the committee, which will directly affect the prioritization of AI and computing power, data, and platform regulations; second, the specific trajectory of AI and computing power regulatory texts, for instance, whether new boundary conditions will be set for high-energy-consuming computing power, cross-border data flow, and decentralized infrastructures; third, whether compliant exchanges will continue to wrap their new product rhythms in AI and new narratives, such as reinforcing "synchronized" expressions with national technology routes in asset selection, marketing, and product structures. Every clue will eventually feedback into the funding distribution and innovation space of the Web3 ecosystem.

For crypto practitioners, purely pursuing short-term speculation on a new listing or a "policy concept coin" is increasingly difficult to constitute a sustainable strategic advantage. A more rational response direction is to focus on reading and dissecting raw texts of regulatory and AI policies, identifying those infrastructures and long-term assets highly related to national-level technology narratives beyond the noise: including but not limited to underlying privacy and data governance, cross-chain and settlement layers, decentralized computing and storage, and compliance-friendly on-chain financial bases. The real opportunities often lie not in the "coincidence" of a news release time but in the structural pivot points chosen by both policy and market after years of narrative accumulation.

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